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包子铺“逆袭”背后有套社区治理方案 上海两个案例入选《上海手册》向全球推介
Jie Fang Ri Bao· 2025-10-27 01:57
Core Insights - The article highlights the successful transformation of a small eatery, "Long Ming Xuan," which overcame a rental crisis and became a popular destination through community support and digital technology [1] - The Shanghai East Ming Road community has implemented innovative digital governance strategies to enhance local engagement and business performance [2][3] - The Shanghai Metro has adopted a "smart maintenance" model, significantly improving operational efficiency and passenger experience through advanced technologies [4][5] Group 1: Community and Business Transformation - "Long Ming Xuan" moved to a less expensive location and quickly became profitable, attracting a diverse clientele including foreign visitors and corporate executives [1] - The eatery benefited from a community-driven initiative that utilized "metaverse" technology for online promotion, fostering a supportive ecosystem among local businesses and social organizations [1] - A mobile application was developed to consolidate local merchant offers and activities, increasing visibility and customer engagement for businesses like "Long Ming Xuan" [2] Group 2: Digital Community Governance - The East Ming Road community was previously seen as a "resource gap," with low youth engagement; efforts were made to increase participation through digital tools [2] - A location-based electronic coupon system was established, allowing residents to receive digital benefits when within a designated area, enhancing community interaction [3] - The digital governance model has expanded from East Ming Road to 16 neighborhoods across Shanghai, demonstrating its scalability and effectiveness [3] Group 3: Smart Maintenance in Metro Operations - The Shanghai Metro has a total operational mileage of 896 kilometers, with a daily passenger flow exceeding 10 million [4] - Traditional maintenance methods were inadequate for the growing demands, leading to the adoption of a proactive "smart maintenance" approach using industrial internet, AI, and big data [5] - The new maintenance system has increased inspection frequency by 300 times and reduced average fault response time from 60 minutes to 20 minutes, significantly enhancing operational efficiency and passenger satisfaction [5]